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DAT Solutions, LLC

Staff Data Engineer

Seattle, WA, United States

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Job details

Apply by: Dec 6, 2026
Experience: Experience: 7+ years of relevant professional engineering experience, with a proven track record of building and operating large-scale distributed systems.
Posting language: English
Posted: Nov 5, 2026

Original job description

About DAT DAT Freight & Analytics is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of freight and logistics innovation for nearly five decades. Founded in 1978, DAT operates the largest freight marketplace in North America - processing 250 million+ load posts annually and maintaining one of the largest repositories of freight market transaction data in the world. On a defined path to $1 billion in revenue, DAT deploys a suite of software solutions, machine learning models, and intelligent automation tools that help brokers, carriers, and shippers price freight accurately, source capacity, reduce risk, and operate more efficiently. With nearly 700 teammates across offices in Denver, CO; Portland, OR; Seattle, WA; Springfield, MO; Toronto, ON; and Bangalore, India, DAT combines the credibility of a multi-decade market leader with the drive of a company that is not done disrupting the industry it helped build. For more information, visit www.DAT.com Job Application Deadline: 10/31/2026 What You'll Do Strategic Architecture & Technical Leadership

Platform Evolution: Lead the design and evolution of our modern data platform architecture, ensuring it remains scalable, available, and performant.
Pattern Implementation: Apply in-depth knowledge of advanced architectural patterns-such as Event Driven, CQRS, event sourcing, and Saga patterns-to solve complex data challenges.
Technical Governance: Develop, document, and communicate standard methods and processes to be utilized within our technology stack, including dbt, Airflow, Snowflake, Kafka, and traditional ETL.
Strategic Collaboration: Act as a key partner to senior leadership on strategic data projects and build strong working relationships with other IT leaders by providing technical acumen and thought leadership.

Data Engineering & Distributed Systems

Enterprise-Scale Infrastructure: Architect and manage enterprise-scale data platforms while setting best practices for development teams, including security, privacy, monitoring & alerting, and CI/CD.
Advanced Data Modeling: Implement sophisticated data modeling strategies, including Kimball, Inmon, or Data Vault, and drive the transition toward modern concepts like Data Mesh.
Complex Problem Solving: Provide solutions for complex business problems, enabling insights that can empower better decision-making across the organization.
Operational Excellence: Set and enforce best practices for the full software development and technology management life cycle, including coding standards, code reviews, source control management, and testing.

Mentorship & Culture

Culture of Excellence: Take an active role in fostering a culture of learning and excellence within the engineering organization.
Influence through Data: Leverage data to prioritize work and influence others across the organization.
Change Management: Proactively implement change and improvements when seeing opportunities to optimize the platform or processes.

The Skills and Experience You'll Bring

Experience: 7+ years of relevant professional engineering experience, with a proven track record of building and operating large-scale distributed systems.
Education: Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.

Technical Proficiency:

Data Engineering: Strong data engineering background working with dbt, Snowflake, Kafka, and cloud-based services (AWS S3, EMR, Glue).
Infrastructure & Tooling: Hands-on experience with Terraform, Airflow, Tableau, MySQL, and Oracle.
Software Engineering: Deep knowledge of professional software engineering practices for the full technology management life cycle; experience with Agile is preferred.
Communication: Excellent verbal and written communication skills with an interest in continuous learning and improvement.

Current Technologies Being Used Today:

Data Warehouse: Snowflake, Oracle, MySQL
Transformation: dbt (data build tool)
Orchestration: Apache Airflow
Programming: Python, SQL
Streaming: Kafka
Cloud: AWS (S3, EMR, Glue)
Infrastructure: Terraform

Why DAT? DAT is an award winning employer of choice. For starters, we have a hybrid work environment, but we also know what makes a great workplace. We have ... For full info follow application link.DAT embraces the value of a diverse workforce, and believes it is a core strength of our company that we encourage those values in every DAT employee, at every level of our organization, regardless of tenure or rank. We provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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